CATSANet: cross-modal semantic token selection and optimal transport based part alignment for text-to-image person ReID
The proposed Cross-Modal Adaptive Token Selection and Alignment Network (CATSANet), a CLIP-based framework tailored for TI-ReID, achieves competitive performance in terms of Rank-k accuracy and mAP, demonstrating the effectiveness of fine-grained alignment and ranking refinement across datasets.